Own productization of Alt's pricing and underwriting models from research through production, keeping them accurate and fast at scale.
Optimize pricing models to reduce infrastructure costs while improving accuracy, especially for high-value assets.
Lead the full ML lifecycle from model training and feature generation to production deployment and monitoring.
Alt unlocks the value of alternative assets, starting with the $5B trading-card market, offering a platform for collectors to buy, sell, vault, and finance their cards. Backed by leaders at Stripe, Coinbase, Seven Seven Six, and pro athletes, the company is at an inflection point with its pricing intelligence infrastructure as a competitive moat.
Design and iterate complex system prompts and chain-of-thought structures for consumer AI experiences.
Partner with engineers and product managers to optimize prompt specifications for latency and cost.
Develop evaluation frameworks and playbooks to guardrail LLM outputs against bias and hallucination.
BOLD is a global company that creates digital products to help people build resumes, cover letters, and CVs, empowering job seekers in 180 countries. They are an established organization that values diversity and inclusion, with a culture of growth and professional fulfillment.
Develop scalable ML pipelines across the full lifecycle and champion responsible AI for content understanding models and signals in production.
Provide technical leadership and mentorship to ML engineers and software engineers, setting technical standards and conducting design reviews.
Build evaluation and quality monitoring systems for content understanding signals using state-of-the-art LLM-as-judge practices.
Reddit is a community of communities built on shared interests, passion, and trust, home to the most open and authentic conversations on the internet. With 100,000+ active communities and approximately 126 million daily active unique visitors, it is one of the internet's largest sources of information.
Design and deploy scalable AI and machine learning architectures using modern frameworks like LLMs and cloud platforms.
Develop, train, and optimize AI models, data pipelines, and AI-powered services with intelligent agents.
Collaborate with technical and business leaders to define AI strategy and translate business objectives into technical solutions.
They build advanced AI-powered systems for automation and business transformation. They offer a remote-first environment with a culture focused on integrity, respect, innovation, and continuous improvement.
Lead technical execution of complex AI initiatives, designing and delivering ML and LLM systems for patient and provider-facing products.
Own problems end-to-end: scope with clinicians, build datasets, iterate on modeling, and ship to production with monitoring and guardrails.
Develop robust evaluation frameworks including offline benchmarks, human-in-the-loop review, and online experiments to ensure model safety and accuracy.
Curai harnesses artificial intelligence and clinical expertise to make healthcare more affordable and accessible for everyone. They are a small, senior team committed to rigorous research, clinical integrity, and improving health outcomes.
Design, develop, and deploy production-grade AI-powered backend systems.
Integrate large language models and machine learning models into scalable architectures.
Optimize system performance and implement strong testing practices.
Our partner company is building advanced AI-powered systems to create meaningful customer value. The team operates in a high-autonomy, fast-moving environment focused on production-ready AI solutions.
Design and architect enterprise AI solutions using Microsoft AI technologies.
Partner with business leaders to define AI roadmaps and identify opportunities.
Provide technical leadership to engineering teams and establish best practices.
The company is a technology partner specializing in enterprise AI solutions and digital transformation. They operate with a remote-first culture, emphasizing innovation, collaboration, and diversity in a fast-growing environment.
Develop cutting-edge GenAI solutions incorporating the latest techniques from Databricks AI research.
Own production rollouts of consumer and internally facing GenAI applications.
Serve as a trusted technical advisor to customers across a variety of domains.
Databricks is the data and AI company, providing a unified platform for data, analytics and AI. With over 10,000 organizations worldwide including 50% of the Fortune 500, Databricks fosters a culture of innovation and collaboration.
Define and drive the company's AI research strategy, identifying emerging technologies and translating them into a practical product roadmap.
Lead the development of advanced evaluation frameworks for autonomous AI agents, measuring performance across complex, non-deterministic workflows.
Design, prototype, and deploy innovative AI capabilities, moving rapidly from experimentation to production-ready solutions.
This company is building next-generation AI systems that solve complex real-world cybersecurity challenges at scale. The organization is a rapidly growing, venture-backed technology company with an ambitious engineering team led by experienced leaders from globally recognized technology companies.
Lead teams building Spotify's Agentic Experience, delivering innovative products in music, podcast, and audiobooks.
Develop a generative AI tech strategy to keep Spotify at the forefront of innovation.
Provide servant leadership to teams spanning research, machine learning, engineering, and data.
Spotify builds the next generation of intelligent listening experiences, evolving from standalone features into a unified, agent-powered platform. It is a large, inclusive company that values diverse perspectives and collaboration.